if (logger.isInfoEnabled()) {
            logger.info("RateLimitHelper initialized: windowMs={}, blockDurationMs={}", windowMs, blockDurationMs);
        }
    }

    /**
     * Check if rate limiting is enabled.
     * @return true if rate limiting is enabled
     */
    public boolean isEnabled() {
        return ComponentUtil.getFessConfig().isRateLimitEnabled();
    }

    /**

  int maximumSize;

  @Param("5000")
  int distinctKeys;

  @Param("4")
  int segments;

  // 1 means uniform likelihood of keys; higher means some keys are more popular
  // tweak this to control hit rate
  @Param("2.5")
  double concentration;

  Random random = new Random();

  LoadingCache<Integer, Integer> cache;

  int max;

  static AtomicLong requests = new AtomicLong(0);

    }

    @Test
    public void test_constructorWithMessageAndErrorCode() {
        final LlmException exception = new LlmException("Rate limit exceeded", LlmException.ERROR_RATE_LIMIT);
        assertEquals("Rate limit exceeded", exception.getMessage());
        assertEquals(LlmException.ERROR_RATE_LIMIT, exception.getErrorCode());
        assertNull(exception.getCause());
    }

    @Test

    @Test
    void testFormatRateEdgeCases() {
        FileSizeFormat format = new FileSizeFormat();

        // Test zero rate
        MessageBuilder builder = new DefaultMessageBuilder();
        format.formatRate(builder, 0.0);
        assertEquals("0.0 B/s", builder.build());

        // Test rate at exactly 1000 (1 kB/s)
        builder = new DefaultMessageBuilder();
        format.formatRate(builder, 1000.0);

    }

    /**
     * Increment error counter
     */
    public void incrementErrors() {
        errors.incrementAndGet();
    }

    /**
     * Get error rate (errors / total requests)
     *
     * @return error rate between 0.0 and 1.0
     */
    public double getErrorRate() {
        long total = requestsSent.get();
        if (total == 0)
            return 0.0;

  int maximumSize;

  @Param("5000")
  int distinctKeys;

  @Param("4")
  int segments;

  // 1 means uniform likelihood of keys; higher means some keys are more popular
  // tweak this to control hit rate
  @Param("2.5")
  double concentration;

  Random random = new Random();

  LoadingCache<Integer, Integer> cache;

  int max;

  static AtomicLong requests = new AtomicLong(0);

        now = datetime.now(tz=timezone.utc)

        # Handle primary rate limits
        primary_limit_wait_time = 0.0
        if self.remaining_points <= self.last_query_cost:
            primary_limit_wait_time = (self.reset_at - now).total_seconds() + 2
            logging.warning(
                f"Approaching GitHub API rate limit, remaining points: {self.remaining_points}, "

	ReplicatedCount int64 `json:"replicationCount"`
	// Replication latency information
	Latency ReplicationLatency `json:"replicationLatency"`
	// transfer rate for large uploads
	XferRateLrg *XferStats `json:"largeTransferRate" msg:"lt"`
	// transfer rate for small uploads
	XferRateSml *XferStats `json:"smallTransferRate" msg:"st"`
	// Endpoint is the replication target endpoint
	Endpoint string `json:"-"`

└─────┴─────────────────────────────────┴──────────────────────────────────┴────────┘
```

### Decommissioning status

```
λ mc admin decommission status alias/ http://minio{1...2}/data{1...4}
Decommissioning rate at 36 MiB/sec [4 TiB/50 TiB]
Started: 1 minute ago
```

Once it is **Complete**

```
λ mc admin decommission status alias/ http://minio{1...2}/data{1...4}

    }

    /**
     * Configure rate limiting
     *
     * @param windowMs time window in milliseconds
     * @param maxEvents maximum events per window
     */
    public void setRateLimit(long windowMs, int maxEvents) {
        this.rateLimitWindow = windowMs;
        this.maxEventsPerWindow = maxEvents;
        log.info("Rate limiting set to {} events per {} ms", maxEvents, windowMs);
    }